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Version du 15 décembre 2020 à 18:11
en construction
Définition
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Novelty Detection
As the name implies, novelty detection is the identification of novel, or unusual, data from within a dataset. Often, these outliers, also called anomalies, are discovered due to their differences from the rest of the data. Sometimes, however, novelty detection algorithms need to be tuned to look for not just single incidents of unusual data, but rather groups or bursts of unusual information. This alternative is called cluster analysis and is a common technique in bank fraud algorithms to track patterns of suspicious activity.
Contributeurs: Imane Meziani, Isaline Hodecent, wiki
